Genome Editing Target Design Scientist

Bayer•Chesterfield, MO

1d•Onsite

About The Position

As a Genome Editing Target Design Scientist, you design key research projects to identify gene-editing targets and prescribe alleles expected to deliver desired phenotypic impact. You work with a diverse set of data inputs to develop genotype-to-phenotype predictions using the industry’s most extensive global agriculture and genetic datasets. You identify and develop game-changing ideas that produce sophisticated insights and leverage rapidly evolving datasets and model-based approaches to guide genome editing and crop improvement efforts. You collaborate closely with the Crop Genome Editing team and the Biology and Genome Design community to translate discoveries into actionable editing pipelines and influence research direction across cross-functional scientific, engineering, and IT partners.

Requirements

B.S. in Biological Sciences, Computational Biology, or a related field with at least 2 years of experience in gene editing, functional genomics, or related fields.
Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses.
Substantial experience with advanced computational and analytical tools used in molecular biology, genetics, and biochemistry (including statistical genetics and ML/AI approaches).
Demonstrated experience developing and applying predictive models for genotype-to-phenotype relationships and working with diverse genomic/phenotypic datasets.
Strong written and verbal communication skills in English with experience presenting findings and influencing stakeholders.
Proven ability to work collaboratively in cross-functional and cross-cultural teams.
Ability to act as a scientific consultant to leadership and influence research priorities.

Nice To Haves

Ph.D. in Biological Sciences, Computational Biology, or a related field with at least 2 years of post-PhD experience in gene editing, functional genomics, or related fields.
Educational preparation or applied experience in one or more of: Plant Biology, Genetics, Molecular Biology, or Machine/Deep Learning.
Experience with functional genomics, phenomics, or other high-throughput biological data curation and quality control.
Experience building production-grade analysis pipelines and partnering with engineering/IT for scalable implementations.
Willingness to collaborate across global teams and travel as needed.

Responsibilities

Produce and document recommendations for alleles predicted to achieve desired phenotypic outcomes.
Implement and apply state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance by leveraging diverse genomic and phenotypic datasets.
Develop robust workflows and analysis pipelines to enable cross-team communication, decision making, and iterative learning from key experiments.
Identify and model complex genetic interactions and variant effects to improve design and prediction for current and future gene-editing pipelines.
Consult on and contribute to the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across R&D teams.
Partner with cross-functional scientific, engineering, and IT teams to prioritize targets and influence research and development strategies.
Share best practices and mentor peers within the Biology and Genome Design community to build capability and drive scientific excellence.